Reduced Complexity Dynamic Schedule for Layered Decoding of LDPC Codes

Low-density parity-check (LDPC) codes have been selected as the coding scheme of the data channel in 5G communication. To enhance the performance of conventional layered decoding of LDPC codes, various dynamic schedules have been proposed recently. However, these dynamic schedules suffer from high complexity. In this paper, we propose a reduced complexity dynamic layered schedule for LDPC codes, where the layer to be updated is determined based on the residual of each layer. Moreover, an adjustable parameter is introduced to achieve a better performance-complexity trade-off. Simulation results show that the proposed method maintains excellent error-correction performance while the computational complexity is greatly reduced, compared to the prior dynamic schedules.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2025-03-14
DOI
https://doi.org/10.1109/tvt.2025.3551240
Citations
1
Primary Topic
Error Correcting Code Techniques
Type
article
Field-Weighted Citation Impact
1.49
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Reduced Complexity Dynamic Schedule for Layered Decoding of LDPC Codes

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Error Correcting Code Techniques
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article

Reduced Complexity Dynamic Schedule for Layered Decoding of LDPC Codes

Jingjing Zhu, Yangcan Zhou, Zhongfeng Wang, Xinle Jia, Zijian Qin
article en
1 citations

Abstract

Low-density parity-check (LDPC) codes have been selected as the coding scheme of the data channel in 5G communication. To enhance the performance of conventional layered decoding of LDPC codes, various dynamic schedules have been proposed recently. However, these dynamic schedules suffer from high complexity. In this paper, we propose a reduced complexity dynamic layered schedule for LDPC codes, where the layer to be updated is determined based on the residual of each layer. Moreover, an adjustable parameter is introduced to achieve a better performance-complexity trade-off. Simulation results show that the proposed method maintains excellent error-correction performance while the computational complexity is greatly reduced, compared to the prior dynamic schedules.

IEEE Transactions on Vehicular TechnologyVol. 74(8)
Sun Yat-sen University (CN), Nanjing University (CN)
Openalex Percentile: Top 19%
Error Correcting Code Techniques
1.49
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